Responsible AI Infrastructures for Scientific Excellence
RenAI delivers an end-to-end Generative AI ecosystem in EOSC: domain-specific pretrained models, tools for data curation and synthetic data generation, and the coResearcher, an agentic AI companion for researchers.
The challenge
European Research Infrastructures generate vast amounts of scientific data, yet much of it remains unusable for GenAI due to quality gaps. Researchers lack AI models built for scientific rigour, and generic tools are used outside institutional governance.
Five interconnected pillars
Scientific Pretrained Models
Pretrained scientific GenAI models co-developed with leading EU research infrastructures in environmental and life sciences.
AI-Readiness and Transformation Infrastructure
Tools that convert fragmented, heterogeneous data into AI-ready, FAIR-by-design assets within EOSC.
RenAI coResearcher
An LLM-powered companion that chains RenAI tools, models and datasets through natural-language prompts.
Legal and Ethical Compliance Hub
Plug-and-play tools for GDPR and AI Act conformity, bias detection, data provenance and explainability.
Community Upskilling
Training, workshops and RI support that equip researchers to use GenAI responsibly.
RenAI ScienceAI Models
RenAI will deliver six domain-specific foundation models and at least one cross-domain model, co-designed and validated with seven European Research Infrastructures in environmental and health research: ACTRIS, LifeWatch ERIC, eLTER, IAGOS, ECCSEL, EBRAINS and ELIXIR.
Consortium
21 partners and 2 affiliated entities from 11 countries, coordinated by Athena Research Center.
Latest news and events
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